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--- |
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license: apache-2.0 |
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tags: |
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- MRC |
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- TyDiQA |
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- Natural Questions |
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- xlm-roberta-large |
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language: |
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- multilingual |
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--- |
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*Task*: MRC |
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# Model description |
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An XLM-RoBERTa Large reading comprehension model trained from the combination of TyDi and NQ datasets, starting from a fine-tuned [Tydi xlm-roberta-large](https://huggingface.co/PrimeQA/tydiqa-primary-task-xlm-roberta-large) model. |
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## Intended uses & limitations |
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You can use the raw model for the reading comprehension task. Biases associated with the pre-existing language model, xlm-roberta-large, that we used may be present in our fine-tuned model. |
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## Usage |
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You can use this model directly with the [PrimeQA](https://github.com/primeqa/primeqa) pipeline for reading comprehension [squad.ipynb](https://github.com/primeqa/primeqa/blob/main/notebooks/mrc/squad.ipynb). |
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### BibTeX entry and citation info |
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```bibtex |
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@article{kwiatkowski-etal-2019-natural, |
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title = "Natural Questions: A Benchmark for Question Answering Research", |
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author = "Kwiatkowski, Tom and |
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Palomaki, Jennimaria and |
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Redfield, Olivia and |
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Collins, Michael and |
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Parikh, Ankur and |
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Alberti, Chris and |
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Epstein, Danielle and |
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Polosukhin, Illia and |
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Devlin, Jacob and |
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Lee, Kenton and |
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Toutanova, Kristina and |
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Jones, Llion and |
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Kelcey, Matthew and |
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Chang, Ming-Wei and |
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Dai, Andrew M. and |
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Uszkoreit, Jakob and |
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Le, Quoc and |
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Petrov, Slav", |
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journal = "Transactions of the Association for Computational Linguistics", |
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volume = "7", |
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year = "2019", |
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address = "Cambridge, MA", |
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publisher = "MIT Press", |
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url = "https://aclanthology.org/Q19-1026", |
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doi = "10.1162/tacl_a_00276", |
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pages = "452--466", |
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} |
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``` |
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```bibtex |
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@article{clark-etal-2020-tydi, |
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title = "{T}y{D}i {QA}: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages", |
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author = "Clark, Jonathan H. and |
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Choi, Eunsol and |
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Collins, Michael and |
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Garrette, Dan and |
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Kwiatkowski, Tom and |
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Nikolaev, Vitaly and |
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Palomaki, Jennimaria", |
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journal = "Transactions of the Association for Computational Linguistics", |
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volume = "8", |
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year = "2020", |
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address = "Cambridge, MA", |
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publisher = "MIT Press", |
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url = "https://aclanthology.org/2020.tacl-1.30", |
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doi = "10.1162/tacl_a_00317", |
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pages = "454--470", |
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} |
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``` |
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